63 Behavioral Analysis jobs in India

• Assist in data collection and data entry processes.
• Perform data cleaning and preprocessing to ensure data quality.
• Conduct statistical analysis under the guidance of senior researchers.
• Create data visualizations to illustrate findings.
• Contribute to research reports and presentations.
• Learn and apply various data analysis techniques.
• Collaborate with team members on research projects.

• Currently pursuing or recently completed a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Basic understanding of statistical concepts and methods.
• Familiarity with data analysis tools or programming languages (e.g., Excel, Python, R) is a plus.
• Strong analytical and problem-solving skills.
• Excellent attention to detail and organizational abilities.
• Good written and verbal communication skills.
• Ability to work effectively in a team environment.
• Must be available for the duration of the internship at our Chennai, Tamil Nadu, IN office.

• Design and implement sophisticated data analysis methodologies.
• Develop and validate statistical models and machine learning algorithms.
• Perform data mining, pattern recognition, and predictive analytics.
• Clean, process, and transform large datasets.
• Create compelling data visualizations to communicate findings.
• Collaborate with research teams to define analytical objectives.
• Interpret research results and provide data-driven recommendations.
• Prepare technical reports and presentations for stakeholders.
• Stay abreast of the latest advancements in data science and statistical techniques.
• Mentor junior data analysts and contribute to knowledge sharing.

• Ph.D. or Master's degree in Statistics, Data Science, Computer Science, Mathematics, or a related quantitative field.
• Minimum of 5 years of experience in data analysis and statistical modeling.
• Proficiency in programming languages like Python or R, and relevant libraries (e.g., NumPy, Pandas, Scikit-learn).
• Experience with database querying (SQL) and data visualization tools (e.g., Tableau, Power BI).
• Strong understanding of statistical principles, machine learning techniques, and experimental design.
• Excellent analytical, problem-solving, and critical thinking skills.
• Effective communication and presentation skills.
• Ability to work independently and collaboratively in a team environment.

• Design, conduct, and manage agricultural research experiments.
• Collect, clean, and analyze large datasets related to crop performance, soil health, and environmental factors.
• Utilize statistical software and modeling techniques to interpret research findings.
• Develop hypotheses, conduct literature reviews, and contribute to research proposals.
• Prepare detailed scientific reports, presentations, and publications.
• Collaborate with other researchers, agronomists, and field technicians.
• Stay current with advancements in agricultural science, technology, and best practices.
• Ensure adherence to research protocols, safety guidelines, and ethical standards.
• Contribute to the development of innovative solutions for crop improvement and sustainable farming.
• Assist in the supervision of junior research staff or interns as needed.

• Ph.D. or Master's degree in Agronomy, Crop Science, Agricultural Science, or a closely related field.
• Minimum of 3-5 years of research experience in agriculture.
• Strong background in experimental design and statistical analysis.
• Proficiency in statistical software (e.g., R, SAS, SPSS) and data analysis tools.
• Excellent written and verbal communication skills, with a track record of scientific publications.
• Ability to work independently and manage multiple research projects effectively.
• Experience with remote data analysis tools and collaboration platforms.
• Knowledge of sustainable agriculture practices and current agricultural challenges.

Looking For ETL Data Analyst Having Experience in the Healthcare domain 

Total Exp - 5 to 10 yrs

Loc: Pune/Mumbai/Hyderabad/Bangalore/Chennai (5 days Working – WFO)

Healthcare business and data analysis

• Create source-to-target mapping based on requirements

• Create rules definitions and transformation logic

• Gather and prepare analysis based on information from internal and external sources to evaluate and demonstrate program effectiveness and efficiency, and problem-solving

• Developing scalable reporting processes and querying data sources to conduct ad hoc analyses/detailed data profiling.

• Assume responsibility for data integrity among various internal groups and/or between internal and external sources

• Proficient in SQL understands data modeling concepts and ETL

• Aware of or willing to learn key concepts of Kafka, Databricks, GitHub, Airflow, Azure storage to support DataOps incident remediation work

• Must have an aptitude for learning new data flows quickly and participate in data quality and automation discussions.

• Must be able to take end to end responsibility in quickly solving data issues in production setting and be comfortable in engaging customers as needed for issue resolution

Proficient in Business analysis, Data Analysis, Mapping data from one format to another, Healthcare data experience(must), SQL(must), Snowflake(preferred), Databricks(preferred), Kafka(preferred)

Undergraduate degree or equivalent experience

• 5 or more years of data analysis experience

• 5 or more years of systems analysis/requirement gathering experience

• 3+ year of Health Care/Claims data experience

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong understanding of statistical concepts and data analysis methodologies.
• Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R) is a plus.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is desirable.
• Excellent analytical, critical thinking, and problem-solving skills.
• Strong communication and teamwork abilities.
• Ability to work independently and manage tasks effectively in a remote setting.

• Assist in collecting, cleaning, and organizing data from various sources.
• Perform exploratory data analysis (EDA) to identify trends and patterns.
• Create data visualizations and reports to communicate findings.
• Support data scientists and analysts in developing analytical models.
• Contribute to data quality checks and validation processes.
• Learn and apply various data analysis tools and techniques.
• Participate in team meetings and contribute to project discussions.
• Assist in documenting data analysis processes and methodologies.
• Understand business requirements and translate them into data analysis tasks.
• Develop basic skills in statistical analysis and reporting.

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong foundational knowledge of statistical concepts and principles.
• Basic understanding of data analysis and visualization techniques.
• Proficiency in MS Excel and familiarity with data analysis software (e.g., Python, R, SQL - basic knowledge is a plus).
• Excellent analytical and problem-solving skills.
• Strong communication and interpersonal abilities.
• Eagerness to learn and a proactive attitude.
• Ability to work effectively in a team environment.
• Attention to detail and accuracy.

• Assist in collecting, cleaning, and organizing data from various sources.
• Perform basic statistical analysis on datasets to identify trends and patterns.
• Create clear and concise data visualizations (charts, graphs) to communicate findings.
• Support senior analysts in developing reports and dashboards.
• Learn and apply data analysis tools and techniques.
• Contribute to data quality checks and validation processes.
• Collaborate with cross-functional teams to understand data needs.
• Assist in interpreting data and providing actionable insights.
• Participate in training sessions to enhance data analysis skills.
• Document methodologies and findings for future reference.

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Data Science, or a related quantitative field.
• Recent graduates with a strong academic background in quantitative subjects.
• Basic understanding of statistical concepts and methods.
• Proficiency in Microsoft Excel is required.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Knowledge of programming languages like Python or R is a plus.
• Excellent analytical and problem-solving abilities.
• Strong communication skills, both written and verbal.
• Ability to work independently and manage time effectively in a remote setting.
• Eagerness to learn and adapt to new technologies and methodologies.